Paul Scheunders

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Conference Paper
B. Koirala, Das, S., Rasti, B., Ghamisi, P., Gloaguen, R., and Scheunders, P., Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon critical_comparison.pdf (1002.06 KB)
Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.
M. Vlaminck, Bnoulkacem, Z., Luzardo, G., Zivariadab, H., Zahiri, Z., Koirala, B., Mangialetto, F., Bufi, I., Platisa, L., Jayapala, M., Scheunders, P., and Luong, H., Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders, in IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 5890-5893.PDF icon igarss_2022_1.pdf (1001.3 KB)
Conference Paper
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)
Conference Paper
B. Koirala, Rasti, B., Bnoulkacem, Z., and Scheunders, P., Unmixing Intimate Mixtures Using Bézier Surfaces, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon bezier.pdf (605.24 KB)
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., and Scheunders, P., Analysis of Plant Stress Response Using Hyperspectral Imaging and Kernel Ridge Regression, in 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, Singapore, 2022, vol. 829.
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., Deep Blind Unmixing using Minimum Simplex Convolutional Network, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 28-31.PDF icon misicnet_igarss2022.pdf (1.29 MB)
Conference Paper
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., Hyperspectral clustering using atrous spatial-spectral convolutional network, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
Journal Article
P. Gosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., Hyperspectral Unmixing using Transformer Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing_author_version_to_upload.pdf (14.65 MB)
P. Ghosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., Hyperspectral Unmixing Using Transformer Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing.pdf (6.32 MB)
T. De Kerf, Pipintakos, G., Zahiri, Z., Vanlanduit, S., and Scheunders, P., Identification of corrosion minerals usning shortwave infrared hyperspectral imaging, Sensors, vol. 22, no. 1, p. 407, 2022.PDF icon sensors-22-00407-v2.pdf (4.41 MB)
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, no. 5522815, 2022.PDF icon misicnet_ieee_tgrs_author_version.pdf (5.57 MB)
B. Rast, Koirala, B., Scheunders, P., and Chanussot, J., MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022.PDF icon ieee_journal_misicnet.pdf (11.02 MB)
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Gloaguen, R., and Scheunders, P., MS2A-Net: multi-view spectral-spatial association network for hyperspectral image clustering, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6518-6530, 2022.PDF icon ms2a-net_multiscale_spectralspatial_association_network_for_hyperspectral_image_clustering.pdf (12.33 MB)
M. Shahrimie Asaari, Mertens, S., Verbraeken, L., Dhondt, S., Inze, D., Koirala, B., and Scheunders, P., Non-Destructive Analysis of Plant Physiological Traits Using Hyperspectral Imaging: A Case Study on Drought Stress, Computers and Electronics in Agriculture, vol. 195, no. 106806, 2022.PDF icon 1-s2.0-s0168169922001235-main.pdf (5.53 MB)
M. Shahrimie Asaari, Mertens, S., Verbraeken, L., Dhondt, S., Inze, D. G., Koirala, B., and Scheunders, P., Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress, Computers and Electronics in Agriculture, vol. 195, 2022.
B. Koirala, Zahiri, Z., and Scheunders, P., A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022.PDF icon soil_moisture_content.pdf (7.95 MB)
Conference Paper
B. Koirala and Scheunders, P., A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329.PDF icon igarss_2022.pdf (238.85 KB)
B. Koirala and Scheunders, P., A robust supervised method to estimate chlorophyll ab content from spectral reflectance, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
Journal Article
G. Zhang, Scheunders, P., Cerra, D., and Muller, R., Shadow-aware nonlinear spectral unmixing for hyperspectral imagery, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022.PDF icon shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)

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